FURI | Spring 2024

Optimizing Camera Locations for Efficient Human Motion Analysis

This project focuses on optimizing camera locations for human motion sensing in the workplace. It applies computer vision methods on real-time videos of human subject experiments to track and quantify human worker motions. For the same human subject experiment, multiple videos were collected by cameras placed from different locations (i.e., angles and distance). The quantification results of human worker motions are further analyzed to evaluate the optimality of individual camera locations. The proposed method integrates computer vision and statistical image processing, with the objective of improving real-time sensing from human workers.